Triple

T4268936
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Express E96891 entity
Predicate leadCharacter P1668 FINISHED
Object Hui Fei
Hui Fei is a strong-willed and enigmatic courtesan who plays a pivotal role in the 1932 film "Shanghai Express."
 E438610 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hui Fei | Statement: [Shanghai Express, leadCharacter, Hui Fei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hui Fei
Context triple: [Shanghai Express, leadCharacter, Hui Fei]
  • A. Xie Fei
    Xie Fei was a Chinese revolutionary and political figure best known as the wife of former PRC President Liu Shaoqi.
  • B. Xue Yue
    Xue Yue was a prominent Nationalist Chinese general renowned for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
  • C. Wei Fang
    Wei Fang is a skilled young warrior and central character in the film "Crouching Tiger, Hidden Dragon: Sword of Destiny," whose conflicted loyalties and past drive much of the story’s drama.
  • D. Jing Tian
    Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
  • E. Li Jingxi
    Li Jingxi was a Chinese politician and statesman who briefly served as premier during the early years of the Republic of China.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hui Fei
Triple: [Shanghai Express, leadCharacter, Hui Fei]
Generated description
Hui Fei is a strong-willed and enigmatic courtesan who plays a pivotal role in the 1932 film "Shanghai Express."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hui Fei
Target entity description: Hui Fei is a strong-willed and enigmatic courtesan who plays a pivotal role in the 1932 film "Shanghai Express."
  • A. Xie Fei
    Xie Fei was a Chinese revolutionary and political figure best known as the wife of former PRC President Liu Shaoqi.
  • B. Xue Yue
    Xue Yue was a prominent Nationalist Chinese general renowned for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
  • C. Wei Fang
    Wei Fang is a skilled young warrior and central character in the film "Crouching Tiger, Hidden Dragon: Sword of Destiny," whose conflicted loyalties and past drive much of the story’s drama.
  • D. Jing Tian
    Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
  • E. Li Jingxi
    Li Jingxi was a Chinese politician and statesman who briefly served as premier during the early years of the Republic of China.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69b34543f06c8190915ebb1a4574ffa9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ff913608190b6ccf4a85057b07b completed March 12, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5b3f5b88190bda71f9f053e67d7 completed March 14, 2026, 11:56 p.m.
NEDg Description generation batch_69b5f65e9bec819082c33b0c066cd42b completed March 14, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_69b5fa90f6a48190a27dfeb65f705225 completed March 15, 2026, 12:17 a.m.
Created at: March 12, 2026, 11:07 p.m.